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The Future of Marketing: Artificial Intelligence, Virtual Reality, and Neuromarketing

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Marketing Communications and Brand Development in Emerging Economies Volume I

Part of the book series: Palgrave Studies of Marketing in Emerging Economies ((PSMEE))

Abstract

The emergence of new technologies is influencing marketing research and business decisions. Specifically, artificial intelligence (AI), virtual reality (VR), and neuropsychological tools are changing the way we collect, store, and analyse marketing data. To realise the benefits of these technologies, which have implications for marketing communications as they facilitate the in-depth understanding of consumer experience, strategic and proactive orientations are required. To this end, this chapter reviews extant literature on AI, VR, and neuromarketing, providing guidance on how future marketing decisions will be made through leveraging these new technology-based tools. With its increasing computer power, AI will support broad marketing applications, such as analysis and targeting of customers for effective decision-making. VR can enhance a customer’s experience through the purchase journey, thus providing ample opportunities for marketers to utilise innovative marketing campaigns. Neuromarketing can capture tacit cognitive and emotional responses to marketing stimuli and enable informed forecasting of consumers’ purchase decisions.

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References

  • Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33(2), 31–50.

    Article  Google Scholar 

  • Alcañiz, M., BignĂ©, E., & Guixeres, J. (2019). Virtual reality in marketing: A framework, review, and research agenda. Frontiers in Psychology, 10, 1530.

    Article  Google Scholar 

  • Ariely, D., & Berns, G. S. (2010). Neuromarketing: The hope and hype of neuroimaging in business. Nature Reviews Neuroscience, 11(4), 284–292.

    Article  Google Scholar 

  • Awalegaonkar, K., Berkey, R., Douglass, G., & Reilly, A. (2019). AI: Built to scale. Accenture. www.accenture.com/gb-en/insights/artificial-intelligence/ai-investments

  • Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance. Industrial Marketing Management, 92, 178–189.

    Article  Google Scholar 

  • BignĂ©, E., Alcañiz, M., & Guixeres, J. (2018). Visual attention in virtual reality settings. World Marketing Congress.

    Google Scholar 

  • BignĂ©, E., Llinares, C., & Torrecilla, C. (2016). Elapsed time on first buying triggers brand choices within a category: A virtual reality-based study. J. Bus. Res., 69, 1423–1427. https://doi.org/10.1016/j.jbusres.2015.10.119

    Article  Google Scholar 

  • Boccia, F., Malgeri Manzo, R., & Covino, D. (2019). Consumer behavior and corporate social responsibility: An evaluation by a choice experiment. Corporate Social Responsibility and Environmental Management, 26, 97–105. https://doi.org/10.1002/csr.1661

    Article  Google Scholar 

  • Çakar, T., RızvanoÄźlu, K., Ă–ztĂĽrk, Ă–., Çelik, D. Z., & GĂĽrvardar, Ä°. (2017). The use of neurometric and biometric research methods in understanding the user experience during product search of first-time buyers in E-commerce. In International conference of design, user experience, and usability (pp. 342–362). Springer.

    Google Scholar 

  • Çakir, M. P., Çakar, T., Girisken, Y., & Yurdakul, D. (2018). An investigation of the neural correlates of purchase behavior through fNIRS. Eur J Mark, 52(1/2), 224–243. https://doi.org/10.1108/EJM-12-2016-0864

    Article  Google Scholar 

  • Capatina, A., Kachour, M., Lichy, J., Micu, A., Micu, A. E., & Codignola, F. (2020). Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users’ expectations. Technological Forecasting and Social Change, 151, 119794.

    Article  Google Scholar 

  • Castellanos, M. C., Ausin, J. M., Guixeres, J., & BignĂ©, E. (2018). Emotion in a 360-degree vs. traditional format through EDA, EEG and facial expressions. In V. Cauberghe, L. Hudders, & M. Eisend (Eds.), Advances in Advertising Research IX (pp. 3–15). Springer Gabler). https://doi.org/10.1007/978-3-658-22681-7_1

    Chapter  Google Scholar 

  • Chew, L. H., Teo, J., & Mountstephens, J. (2015). Aesthetic preference recognition of 3D shapes using EEG. Cognit Neurodynamics, 10(2), 165–173.

    Article  Google Scholar 

  • Chi-Hsien, K., & Nagasawa, S. (2019). Applying machine learning to market analysis: Knowing your luxury consumer. Journal of Management Analytics, 6(4), 404–419.

    Article  Google Scholar 

  • Craig, A., Sherman, W., & Will, J. (2009). Developing virtual reality applications: Foundations of effective design. Morgan-Kaufman.

    Google Scholar 

  • DapkeviÄŤius, A., & Melnikas, B. (2009). Influence of price and quality to customer satisfaction: Neuromarketing approach. Mokslas–Lietuvos ateitis/Science–Future of Lithuania, 1(3), 17–20.

    Article  Google Scholar 

  • De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K. U., & von Wangenheim, F. (2020). Artificial intelligence and marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51, 91–105.

    Article  Google Scholar 

  • Dobrowolski, P., Pochwatko, G., Skorko, M., & Bielecki, M. (2014). The effects of virtual experience on attitudes toward real brands. Cyberpsychology, Behavior, and Social Networking, 17(2), 125–128.

    Article  Google Scholar 

  • Eriksson, T., Bigi, A., & Bonera, M. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The TQM Journal, 32, 795–814.

    Article  Google Scholar 

  • Flavián, C., Ibáñez-Sánchez, S., & OrĂşs, C. (2019). The impact of virtual, augmented and mixed reality technologies on the customer experience. Journal of Business Research, 100, 547–560.

    Article  Google Scholar 

  • Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumers acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157–169.

    Article  Google Scholar 

  • Hafez, M. (2019). Neuromarketing: A new avatar in branding and advertisement. Pacific Business Review International, 12, 58–64.

    Google Scholar 

  • Ho, J. C., & Zhang, X. (2020). Strategies for marketing really new products to the mass market: A text mining-based case study of virtual reality games. Journal of Open Innovation: Technology, Market, and Complexity, 6(1), 1.

    Article  Google Scholar 

  • Hollebeek, L. D., Clark, M. K., Andreassen, T. W., Sigurdsson, V., & Smith, D. (2020). Virtual reality through the customer journey: Framework and propositions. Journal of Retailing and Consumer Services, 55, 102056.

    Article  Google Scholar 

  • Hsu, L., & Chen, Y. J. (2020). Neuromarketing, subliminal advertising, and hotel selection: An EEG study. Australasian Marketing Journal (AMJ), 28(4), 200–208.

    Article  Google Scholar 

  • Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.

    Article  Google Scholar 

  • Hubert, M., Linzmajer, M., Riedl, R., & Kenning, P. (2018). Trust me if you can—neurophysiological insights on the influence of consumer impulsiveness on trustworthiness evaluations in online settings. European Journal of Marketing. https://doi.org/10.1108/EJM-12-2016-0870

  • Izhikevich, E. M. (2003). Simple model of spiking neurons. IEEE Transactions on Neural Networks, 14(6), 1569–1572.

    Article  Google Scholar 

  • Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46–55.

    Article  Google Scholar 

  • Jin, S. A. A., & Bolebruch, J. (2009). Virtual commerce (V-Commerce) in second life: The roles of physical presence and brand-self connection. Journal for Virtual Worlds Research, 2, 1–12.

    Google Scholar 

  • Jones, V. K. (2018). Voice-activated change: Marketing in the age of artificial intelligence and virtual assistants. Journal of Brand Strategy, 7(3), 233–245.

    Google Scholar 

  • Juarez, D., Tur-Viñes, V., & Mengual, A. (2020). Neuromarketing applied to educational toy packaging. Frontiers in Psychology, 11, 2077.

    Article  Google Scholar 

  • Jung, T., tom Dieck, M. C., Lee, H., & Chung, N. (2016). Effects of virtual reality and augmented reality on visitor experiences in museum. In Information and communication technologies in tourism 2016 (pp. 621–635). Springer.

    Chapter  Google Scholar 

  • Jung, T. H., & tom Dieck, M. C. (2017). Augmented reality, virtual reality and 3D printing for the co-creation of value for the visitor experience at cultural heritage places. Journal of Place Management and Development, 10, 140–151.

    Article  Google Scholar 

  • Kaplan, A. M., & Haenlein, M. (2009). The fairyland of Second Life: Virtual social worlds and how to use them. Business Horizons, 52, 563–572. https://doi.org/10.1016/j.bushor.2009.07.002

    Article  Google Scholar 

  • Kiron, D., & Schrage, M. (2019). Strategy for and with AI. MIT Sloan Management Review, 60(4), 30–35.

    Google Scholar 

  • Kong, X., Liu, D., & Min, L. (2020). VR technology in marketing from the perspective of customer experience. IEEE Access, 8, 162581–162587.

    Article  Google Scholar 

  • Krampe, C., Strelow, E., Haas, A., & Kenning, P. (2018). The application of mobile fNIRS to shopper neuroscience – First insights from a merchandising communication study. European Journal of Marketing. https://doi.org/10.1108/EJM-12-2016-0727

  • Kroupi, E., Hanhart, P., Lee, J. S., Rerabek, M., & Ebrahimi, T. (2014). Predicting subjective sensation of reality during multimedia consumption based on EEG and peripheral physiological signals. In 2014 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1–6). IEEE.

    Google Scholar 

  • Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalised engagement marketing. California Management Review, 61(4), 135–155.

    Article  Google Scholar 

  • Liu, X. (2020). Analysing the impact of user-generated content on B2B Firms’ stock performance: Big data analysis with machine learning methods. Industrial Marketing Management, 86, 30–39.

    Article  Google Scholar 

  • Loureiro, S. M. C., Guerreiro, J., Eloy, S., Langaro, D., & Panchapakesan, P. (2019). Understanding the use of Virtual Reality in Marketing: A text mining-based review. Journal of Business Research, 100, 514–530.

    Article  Google Scholar 

  • Ma, L., & Sun, B. (2020). Machine learning and AI in marketing – Connecting computing power to human insights. International Journal of Research in Marketing, 37(3), 481–504.

    Article  Google Scholar 

  • Malhotra, N. K., & Dash, S. (2016). Marketing research: An applied orientation. Pearson.

    Google Scholar 

  • Marinchak, C. M., Forrest, E., & Hoanca, B. (2018). Artificial intelligence: Redefining marketing management and the customer experience. International Journal of E-Entrepreneurship and Innovation (IJEEI), 8(2), 14–24.

    Article  Google Scholar 

  • MartĂ­nez-LĂłpez, F. J., & Casillas, J. (2013). Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management, 42(4), 489–495.

    Article  Google Scholar 

  • MartĂ­nez-Navarro, J., BignĂ©, E., Guixeres, J., Alcañiz, M., & Torrecilla, C. (2019). The influence of virtual reality in e-commerce. Journal of Business Research, 100, 475–482.

    Article  Google Scholar 

  • Mogaji, E., Soetan, T. O., & Kieu, T. A. (2020). The implications of artificial intelligence on the digital marketing of financial services to vulnerable customers. Australasian Marketing Journal (AMJ).

    Google Scholar 

  • Nilashi, M., Yadegaridehkordi, E., Samad, S., Mardani, A., Ahani, A., Aljojo, N., & Tajuddin, T. (2020). Decision to adopt neuromarketing techniques for sustainable product marketing: A fuzzy decision-making approach. Symmetry, 12(2), 305.

    Article  Google Scholar 

  • Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019). Letting the computers take over: Using AI to solve marketing problems. California Management Review, 61(4), 156–185.

    Article  Google Scholar 

  • Rawnaque, F. S., Rahman, K. M., Anwar, S. F., Vaidyanathan, R., Chau, T., Sarker, F., & Al Mamun, K. A. (2020). Technological advancements and opportunities in Neuromarketing: A systematic review. Brain Informatics, 7(1), 1–19.

    Article  Google Scholar 

  • Redcay, E., & Schilbach, L. (2019). Using second-person neuroscience to elucidate the mechanisms of social interaction. Nature Reviews Neuroscience, 20(8), 495–505.

    Article  Google Scholar 

  • Rekha, A. G., Abdulla, M. S., & Asharaf, S. (2016). Artificial intelligence marketing: An application of a novel Lightly Trained Support Vector Data Description. Journal of Information and Optimization Sciences, 37(5), 681–691.

    Article  Google Scholar 

  • Roth, V. A. (2014). The potential of neuromarketing as a marketing tool. Bachelor’s thesis, University of Twente.

    Google Scholar 

  • Sebastian, V. (2014). New directions in understanding the decision-making process: Neuroeconomics and neuromarketing. Procedia-Social and Behavioral Sciences, 127, 758–762.

    Article  Google Scholar 

  • Shankar, V., Inman, J. J., Mantrala, M., Kelley, E., & Rizley, R. (2011). Innovations in shopper marketing: Current insights and future research issues. Journal of Retailing, 87, S29–S42.

    Article  Google Scholar 

  • Shen, F., & Morris, J. D. (2016). Decoding neural responses to emotion in television commercials: An integrative study of self-reporting and fMRI measures. Journal of Advertising Research, 56(2), 193–204.

    Article  Google Scholar 

  • Shen, Y., Shan, W., & Luan, J. (2018). Influence of aggregated ratings on purchase decisions: an event-related potential study. European Journal of Marketing. https://doi.org/10.1108/EJM-12-2016-0871

  • Stone, M., Aravopoulou, E., Ekinci, Y., Evans, G., Hobbs, M., Labib, A., & Machtynger, L. (2020). Artificial intelligence (AI) in strategic marketing decision-making: A research agenda. The Bottom Line, 33, 183–200.

    Article  Google Scholar 

  • Stone, M., Laughlin, P., Aravopoulou, E., Gerardi, G., Todeva, E., & Weinzierl, L. (2017). How platforms are transforming customer information management. The Bottom Line, 30(3), 216–235.

    Article  Google Scholar 

  • Subawa, N. S., Widhiasthini, N. W., Astawa, I. P., Dwiatmadja, C., & Permatasari, N. P. I. (2021). The practices of virtual reality marketing in the tourism sector, a case study of Bali, Indonesia. Current Issues in Tourism, 1–12.

    Google Scholar 

  • Sung, B., Mergelsberg, E., Teah, M., D’Silva, B., & Phau, I. (2021). The effectiveness of a marketing virtual reality learning simulation: A quantitative survey with psychophysiological measures. British Journal of Educational Technology, 52(1), 196–213.

    Article  Google Scholar 

  • Tong, S., Luo, X., & Xu, B. (2020). Personalised mobile marketing strategies. Journal of the Academy of Marketing Science, 48(1), 64–78.

    Article  Google Scholar 

  • Tussyadiah, I. P., Wang, D., Jung, T. H., & tom Dieck, M. C. (2018). Virtual reality, presence, and attitude change: Empirical evidence from tourism. Tourism Management, 66, 140–154.

    Article  Google Scholar 

  • van Berlo, Z. M., van Reijmersdal, E. A., Smit, E. G., & van der Laan, L. N. (2021). Brands in virtual reality games: Affective processes within computer-mediated consumer experiences. Journal of Business Research, 122, 458–465.

    Article  Google Scholar 

  • Vecchiato, G., Astolfi, L., De Vico Fallani, F., Toppi, J., Aloise, F., Bez, F., & Babiloni, F. (2011). On the use of EEG or MEG brain imaging tools in neuromarketing research. Computational Intelligence and Neuroscience, 2011, 1–12.

    Article  Google Scholar 

  • Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: Introduction to the special issue on multi-channel retailing. Journal of Retailing, 91, 174–181. https://doi.org/10.1016/j.jretai.2015.02.005

    Article  Google Scholar 

  • Verhulst, A., Normand, J. M., Lombard, C., & Moreau, G. (2017). A study on the use of an immersive virtual reality store to investigate consumer perceptions and purchase behavior toward non-standard fruits and vegetables. In Proceedings of the 2017 IEEE Virtual Reality (VR) (pp. 55–63). IEEE.

    Chapter  Google Scholar 

  • Vrechopoulos, A., Apostolou, K., & Koutsiouris, V. (2009). Virtual reality retailing on the web: Emerging consumer behavioural patterns. The International Review of Retail, Distribution and Consumer Research, 19, 469–482. https://doi.org/10.1080/09593960903445194

    Article  Google Scholar 

  • Wang, Y., & Chen, H. (2019). The influence of dialogic engagement and prominence on visual product placement in virtual reality videos. Journal of Business Research, 100, 493–502.

    Article  Google Scholar 

  • Waterlander, W. E., Jiang, Y., Steenhuis, I. H., & Ni Mhurchu, C. (2015). Using a 3D virtual supermarket to measure food purchase behavior: A validation study. Journal of Medical Internet Research, 17, e107. https://doi.org/10.2196/jmir.3774

    Article  Google Scholar 

  • West, A., Clifford, J., & Atkinson, D. (2018). Alexa, “build me a brand” An Investigation into the impact of Artificial Intelligence on Branding. The Business & Management Review, 9(3), 321–330.

    Google Scholar 

  • Wierenga, B. (2010). Marketing and artificial intelligence: Great opportunities, reluctant partners. In Marketing intelligent systems using soft computing (pp. 1-8). Springer, .

    Google Scholar 

  • Wirth, N. (2018). Hello marketing, what can artificial intelligence help you with? International Journal of Market Research, 60(5), 435–438.

    Article  Google Scholar 

  • Xu, Y., Shieh, C. H., van Esch, P., & Ling, I. L. (2020). AI customer service: Task complexity, problem-solving ability, and usage intention. Australasian Marketing Journal (AMJ), 28(4), 189–199.

    Article  Google Scholar 

  • Zheng, X. (2021, February). Application of virtual reality technology in marketing training. Journal of Physics: Conference Series, 1744(4), 042199. IOP Publishing.

    Google Scholar 

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Adeola, O., Evans, O., Ndubuisi Edeh, J., Adisa, I. (2022). The Future of Marketing: Artificial Intelligence, Virtual Reality, and Neuromarketing. In: Adeola, O., Hinson, R.E., Sakkthivel, A.M. (eds) Marketing Communications and Brand Development in Emerging Economies Volume I. Palgrave Studies of Marketing in Emerging Economies. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-88678-3_12

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